Artificial Intelligence Using Swift

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CoreML, NLP, Deep Learning, NLP, natural language processing, question answering, Semantic Web and Linked Data, Knowledge Graphs, Knowledge Representation

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Artificial Intelligence Using Swift24 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Part 1: Introduction and Short Examples

  4. Setting Up Swift for Command Line Development

  5. Background Information for Writing Swift Command Line Utilities

  6. Web Scraping

  7. Part 2: Large Language Models

  8. Using the OpenAI LLM APIs

  9. Using APIs for Anthropic Claude LLMs

  10. Using Groq APIs to Open Weight LLM Models

  11. Using the xAI Grok LLM

  12. Using Ollama to Run Local LLMs

  13. Using Apple’s MLX Framework to Run Local LLMs

  14. Part 3: Apple’s CoreML and NLP Libraries

  15. Deep Learning Introduction

  16. Natural Language Processing Using Apple’s Natural Language Framework

  17. Documents Question Answering Using OpenAI GPT4 APIs and a Local Embeddings Vector Database

  18. Part 4: Knowledge Representation and Data Acquisition

  19. Linked Data and the Semantic Web

  20. Example Application: iOS and macOS Versions of my KnowledgeBookNavigator

  21. Part 5: Apple Intelligence

  22. Using Apple Intelligence’s Default System Model To Build a Chat Command Line Tool

  23. Using Apple Intelligence’s Default System Model To Build a Coding Assistant Command Line Tool

  24. Book Wrap Up